Senior Applied ML Engineer (Speech Audio)

Nile Bits • القاهرة, C, EG

Actively Hiring

Full-time Posted 2 months ago

Responsibilities

check_circle Benchmark and evaluate TTS and ASR models using Arabic-specific test sets, measuring metrics such as Word Error Rate (WER), naturalness, and dialect coverage.
check_circle Fine-tune generative models for voice cloning, zero-shot speaker adaptation, and speech synthesis.
check_circle Build and maintain Arabic-focused data pipelines, including: Audio collection and preprocessing Diacritization (Tashkil) Data cleaning and augmentation
check_circle Audio collection and preprocessing
check_circle Diacritization (Tashkil)
check_circle Data cleaning and augmentation
check_circle Optimize model inference for production environments using: Quantization KV-cache tuning Streaming inference techniques
check_circle Quantization
check_circle KV-cache tuning
check_circle Streaming inference techniques
check_circle Integrate and evaluate complete speech-to-speech conversational pipelines.
check_circle Conduct experiments based on recent research papers and convert findings into production-ready solutions.
check_circle Collaborate with engineering and product teams to deploy robust and scalable speech systems.

5+ years of experience in Machine Learning, Applied AI, or AI Research.
Strong programming skills in Python.
Extensive hands-on experience with PyTorch and the Hugging Face ecosystem.
Proven experience training and fine-tuning neural models for: Text-to-Speech (TTS) Automatic Speech Recognition (ASR) Audio codecs
Text-to-Speech (TTS)
Automatic Speech Recognition (ASR)
Audio codecs
Deep understanding of modern speech architectures such as: Whisper Conformer HiFi-GAN Diffusion-based models
Whisper
Conformer
HiFi-GAN
Diffusion-based models
Experience with audio processing techniques including: Voice Activity Detection (VAD) Speaker Diarization Neural Vocoders
Voice Activity Detection (VAD)
Speaker Diarization
Neural Vocoders
Demonstrated ability to implement and adapt research papers into practical production experiments.
Strong understanding of Arabic language challenges, including: Diacritization (Tashkil) Dialectal variations Code-switching
Diacritization (Tashkil)
Dialectal variations
Code-switching
Experience with inference optimization techniques such as: Quantization Streaming inference NVIDIA TensorRT
Quantization
Streaming inference
NVIDIA TensorRT

Experience developing custom NVIDIA CUDA kernels for high-performance model inference.
Familiarity with speculative decoding and other advanced acceleration techniques.
Experience deploying models at scale in cloud or GPU-based production environments.
Contributions to open-source speech or machine learning projects.

check_circle All employees benefits for free (our famous games room, daily breakfast, fruits, coffee and other hot drinks, soft drinks and juices, company days out and parties…).
check_circle Flexible and comfortable schedule.
check_circle Social insurance.
check_circle Paid annual and national vacation.
check_circle Working remotely.
check_circle Competitive salaries.
check_circle Monetary rewards and incentives.
check_circle Career possibilities with growing team.
check_circle Open-door management policy.
check_circle Full Medical insurance.
check_circle Accommodation and transportation allowance.
check_circle Friendly environment that values innovation and efficiency.
check_circle Exciting opportunities for career growth and talent development.
check_circle Feedback encouragement.
check_circle Recognition and reward programs.
check_circle Friendly environment.
check_circle Fun committees.
check_circle Fun, smart and creative people.
check_circle Social benefits.
check_circle Natural Text-to-Speech (TTS)
check_circle Real-Time Automatic Speech Recognition (ASR)
check_circle End-to-End Speech-to-Speech Conversational Systems

Fulltime Remote Machine Learning Ai